Afforestation Program based on self-adaptive Genetic Algorithm
Jinming Li, Mei-Fang Wang · 2008
For a long time, afforestation program workers mainly depend on manual planning or use of some common computer software to aid planning, which make the work tedious and inefficient, and bring about rough design and unscientific calculation. The paper sets forward Genetic Algorithm to determine the most effectual scheme under the restricted conditions of funds, variety and quantities of seedlings. The mathematical models and concrete methods are offered and discussed. And it is found out the satisfactory results by applying this algorithm on Afforestation Program under the restricted conditions.